In this paper, the fuzzy membership function is built by analysis on design parameters' fuzzy attribution, and optimization values are obtained on the basis of fuzzy aggregate expand theory.
通过对设计参数的模糊分析建立模糊隶属函数，由模糊集合扩展理论求取设计参数的优化值。
According to the relations between the objective function and the constraint function, the fuzzy optimization can fall into tow categories about symmetry and unsymmetry.
根据模糊目标函数与模糊约束函数的关系，模糊优化问题可以分为对称和非对称两种类型。
Has been widely used in function optimization, training neural networks, fuzzy systems control, and other fields.
目前已广泛应用于函数优化，神经网络训练，模糊系统控制等领域。
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